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Mobile App Stability Outlook 2024: Quality Reigns Supreme

Kenny Johnston
Instabug

The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps.

To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience. Simply being crash-free is no longer enough; mobile apps must consistently deliver a stable, high-performance user experience.

The 2024 edition of Instabug's Mobile App Stability Outlook leverages partnerships with the leading mobile teams globally to take a deep dive into the stability and performance of the world's top mobile apps. The report looks far beyond average crash rates and includes mobile-specific metrics on non-fatal stability incidents to accurately depict the current state of mobile app stability and user experience.

Image
Instabug

 

The core takeaways confirm our constant drumbeat that quality — defined by an app's performance and stability — is the single most important feature of any mobile app.

To that end, our benchmarking emphasizes a critical insight that shouldn't surprise mobile teams: the most successful apps are also the most performant. There's a reinforcing mechanism in play — high-performing apps keep consumers engaged and are used more frequently while setting the standard for every other app users interact with.

Apps that meet or exceed consumers' expectations are the ones that will be successful in the highly competitive mobile landscape.

App Stability Is Just the Beginning

The 2024 report acknowledges the strong link between app stability and app store success. Users expect a phenomenal app experience, demonstrating little tolerance for instability. Crashes or performance upsets have a direct and unequivocal impact on ratings and reviews.

This year, the median crash-free session rate increased slightly to 99.95%, setting a new bar for app stability. High-performing mobile apps consistently hit "five nines" (99.999%) stability, solidifying that as the target for successful apps.

A crash-free app experience is only the beginning. Mobile users often express dissatisfaction with non-fatal stability issues in app store ratings and reviews, stressing the importance of a holistic approach toward stability and overall performance. Crashes are just one aspect of mobile app stability; other stability metrics like application not responding (ANR) errors, out-of-memory (OOM) errors and app hangs must also be considered to represent the user experience accurately.

Mobile teams must consider the full breadth of app performance, reinforcing the need for mobile-specific application performance management (APM) tools that go beyond measuring fatal app crashes. To measure real user experience and ensure apps meet high expectations, mobile teams require tools that capture the user's complete experience.

Top Apps Determine User Expectations

Therefore, developers must push their business and engineering leaders to provide the tools to scale mobile app development's maturity curve, which starts with ensuring your app doesn't crash and ends with meeting users' expectations — determined by some of the best mobile apps in the world. Apps like Uber, Instagram, and TikTok are setting your users' expectations, and if your app isn't performing to its fullest potential, you'll have your work cut out for you on that maturity curve.

Regardless of your industry — banking, travel, lifestyle, retail, etc. — you're competing on your app's performance. Like it or not, app quality is no longer a nice-to-have — it's a prerequisite.

This year's report breaks down a broader range of industries and includes apps in the lifestyle/sports, social/dating, telecom, travel/airlines, and staffing/recruitment industries. At the top of the stability chart is the health/fitness industry, with a median of 99.98% crash-free sessions, followed closely by social/dating and telecom at 99.97%. Lagging behind is the lifestyle/sports industry, with a median crash-free rate of 99.67%.

The best apps in the world rarely experience crashes and consistently deliver a stable and performant user experience. They are significantly outpacing their competitors — which includes not just others in the same industry but every other app available on Google or Apple app stores. Apps not consistently hitting those "five nines" need to improve by investing in the right mobile app quality tooling.

It's worth noting that the differences between iOS and Android apps are not relevant to their performance rating. While both Google and Apple stores are gated regarding which apps are allowed in, Apple is a bit more stringent in its quality demands. It won't allow an app that crashes at a high-frequency level into the store — which is why its apps have a better crash rate. However, both stores are ramping up those quality gates, and becoming less tolerant of apps that don't meet user expectations.

The bar is higher than ever and mobile teams must ensure they keep up.

AI is playing a significant role in that effort. The report highlights that AI-driven automation tools will increasingly be critical in boosting app stability benchmarks. AI assistants can enable mobile development teams to understand the patterns driving crashes or other performance problems.

We are part of a new era in mobile app development, driven by AI's predictive power and real-time data analysis. The future of mobile stability is not just about your app's crash-free sessions, but about developing hype-responsive, self-healing, zero-maintenance apps powered by advanced AI.

Kenny Johnston is Chief Product Officer at Instabug

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Mobile App Stability Outlook 2024: Quality Reigns Supreme

Kenny Johnston
Instabug

The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps.

To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience. Simply being crash-free is no longer enough; mobile apps must consistently deliver a stable, high-performance user experience.

The 2024 edition of Instabug's Mobile App Stability Outlook leverages partnerships with the leading mobile teams globally to take a deep dive into the stability and performance of the world's top mobile apps. The report looks far beyond average crash rates and includes mobile-specific metrics on non-fatal stability incidents to accurately depict the current state of mobile app stability and user experience.

Image
Instabug

 

The core takeaways confirm our constant drumbeat that quality — defined by an app's performance and stability — is the single most important feature of any mobile app.

To that end, our benchmarking emphasizes a critical insight that shouldn't surprise mobile teams: the most successful apps are also the most performant. There's a reinforcing mechanism in play — high-performing apps keep consumers engaged and are used more frequently while setting the standard for every other app users interact with.

Apps that meet or exceed consumers' expectations are the ones that will be successful in the highly competitive mobile landscape.

App Stability Is Just the Beginning

The 2024 report acknowledges the strong link between app stability and app store success. Users expect a phenomenal app experience, demonstrating little tolerance for instability. Crashes or performance upsets have a direct and unequivocal impact on ratings and reviews.

This year, the median crash-free session rate increased slightly to 99.95%, setting a new bar for app stability. High-performing mobile apps consistently hit "five nines" (99.999%) stability, solidifying that as the target for successful apps.

A crash-free app experience is only the beginning. Mobile users often express dissatisfaction with non-fatal stability issues in app store ratings and reviews, stressing the importance of a holistic approach toward stability and overall performance. Crashes are just one aspect of mobile app stability; other stability metrics like application not responding (ANR) errors, out-of-memory (OOM) errors and app hangs must also be considered to represent the user experience accurately.

Mobile teams must consider the full breadth of app performance, reinforcing the need for mobile-specific application performance management (APM) tools that go beyond measuring fatal app crashes. To measure real user experience and ensure apps meet high expectations, mobile teams require tools that capture the user's complete experience.

Top Apps Determine User Expectations

Therefore, developers must push their business and engineering leaders to provide the tools to scale mobile app development's maturity curve, which starts with ensuring your app doesn't crash and ends with meeting users' expectations — determined by some of the best mobile apps in the world. Apps like Uber, Instagram, and TikTok are setting your users' expectations, and if your app isn't performing to its fullest potential, you'll have your work cut out for you on that maturity curve.

Regardless of your industry — banking, travel, lifestyle, retail, etc. — you're competing on your app's performance. Like it or not, app quality is no longer a nice-to-have — it's a prerequisite.

This year's report breaks down a broader range of industries and includes apps in the lifestyle/sports, social/dating, telecom, travel/airlines, and staffing/recruitment industries. At the top of the stability chart is the health/fitness industry, with a median of 99.98% crash-free sessions, followed closely by social/dating and telecom at 99.97%. Lagging behind is the lifestyle/sports industry, with a median crash-free rate of 99.67%.

The best apps in the world rarely experience crashes and consistently deliver a stable and performant user experience. They are significantly outpacing their competitors — which includes not just others in the same industry but every other app available on Google or Apple app stores. Apps not consistently hitting those "five nines" need to improve by investing in the right mobile app quality tooling.

It's worth noting that the differences between iOS and Android apps are not relevant to their performance rating. While both Google and Apple stores are gated regarding which apps are allowed in, Apple is a bit more stringent in its quality demands. It won't allow an app that crashes at a high-frequency level into the store — which is why its apps have a better crash rate. However, both stores are ramping up those quality gates, and becoming less tolerant of apps that don't meet user expectations.

The bar is higher than ever and mobile teams must ensure they keep up.

AI is playing a significant role in that effort. The report highlights that AI-driven automation tools will increasingly be critical in boosting app stability benchmarks. AI assistants can enable mobile development teams to understand the patterns driving crashes or other performance problems.

We are part of a new era in mobile app development, driven by AI's predictive power and real-time data analysis. The future of mobile stability is not just about your app's crash-free sessions, but about developing hype-responsive, self-healing, zero-maintenance apps powered by advanced AI.

Kenny Johnston is Chief Product Officer at Instabug

Hot Topics

The Latest

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...